user:zeman:treebanks:fa [ufal wiki]

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Persian (fa)
- Versions
- Obtaining and License
- References
- Domain
- Size
- Inside
- Sample
- Parsing

Persian (fa)

Persian Dependency Treebank (پیکرۀ وابستگی)

Versions

“Preversion” 0.1 (January 2012, 12,200 annotated sentences)
Final version (expected fall 2012, 30,000 sentences)

Obtaining and License

The treebank is available for free under the GNU GPLicense (with the additional requirement that the data be used non-commercially). Complete the license form and they will send you the data by e-mail. (You may also contact info(at)dadegan(dot)ir or Mohammad Sadegh Rasooli.) The license in short:

non-commercial usage
redistribution permitted under the same license
citation of publications not explicitly required but it is common courtesy

PDT was created by members of the Dadegan Research Group (دادگان, Dādegān), Computer Engineering Department, Iran University of Science and Technology (دانشگاه علم و صنعت ایران), Tehrān تهران, Iran. The copyright lies with the Supreme Council of Information and Communication Technology (SCICT).

References

Website
- http://dadegan.ir/en/persiandependencytreebank
Data
- no separate citation
Principal publications
- Mohammad Sadegh Rasooli, Amirsaeid Moloodi, Manouchehr Kouhestani, Behrouz Minaei-Bidgoli: A Syntactic Valency Lexicon for Persian Verbs: The First Steps towards Persian Dependency Treebank. In: 5th Language & Technology Conference (LTC): Human Language Technologies as a Challenge for Computer Science and Linguistics, pp. 227-231, Poznań, Poland, 2011.
Documentation
- Attached to the data distribution: Persian Dependency Treebank Version 0.1, Annotation Manual and User Guide, Dadegan Research Group, Tehran, Iran, 2012.

Domain

Unknown.

Size

12200 annotated sentences.

Inside

Provided in the CoNLL data format. The morphosyntactic annotation contains lemmas. Morphosyntactic / part-of-speech tags have been assigned manually. The text does not contain diacritical marks to distinguish short vowels (not normally shown in Persian text).

Sample

The first sentence of the corpus in the CoNLL format:

1	به	به	PREP	PREP	attachment=ISO\|senID=23472	26	ADV	_	_
2	گزارش	گزارش	N	IANM	attachment=ISO\|number=SING\|senID=23472	1	POSDEP	_	_
3	خبرنگار	خبرنگار	N	ANM	attachment=ISO\|number=SING\|senID=23472	2	MOZ	_	_
4	مهر	مهر	N	IANM	attachment=ISO\|number=SING\|senID=23472	3	MOZ	_	_
5	در	در	PREP	PREP	attachment=ISO\|senID=23472	3	NPP	_	_
6	گرگان	گرگان	N	IANM	attachment=ISO\|number=SING\|senID=23472	5	POSDEP	_	_
7	،	،	PUNC	PUNC	attachment=ISO\|senID=23472	6	PUNC	_	_
8	بر	بر	PREP	PREP	attachment=ISO\|senID=23472	26	ADV	_	_
9	اساس	اساس	N	IANM	attachment=ISO\|number=SING\|senID=23472	8	POSDEP	_	_
10	باورهای	باور	N	IANM	attachment=ISO\|number=PLUR\|senID=23472	9	MOZ	_	_
11	دینی	دینی	ADJ	AJP	attachment=ISO\|senID=23472	10	NPOSTMOD	_	_
12	ترکمن‌ها	ترکمن	N	ANM	attachment=ISO\|number=PLUR\|senID=23472	10	MOZ	_	_
13	در	در	PREP	PREP	attachment=ISO\|senID=23472	26	ADV	_	_
14	این	این	PREM	DEMAJ	attachment=ISO\|senID=23472	15	NPREMOD	_	_
15	روز	روز	N	IANM	attachment=ISO\|number=SING\|senID=23472	13	POSDEP	_	_
16	برای	برای	PREP	PREP	attachment=ISO\|senID=23472	26	NPP	_	_
17	پیامبر	پیامبر	N	ANM	attachment=ISO\|number=SING\|senID=23472	16	VPP	_	_
18	اکرم	اکرم	ADJ	AJP	attachment=ISO\|senID=23472	17	NPOSTMOD	_	_
19	(	(	PUNC	PUNC	attachment=ISO\|senID=23472	20	PUNC	_	_
20	ص	ص	ADJ	AJP	attachment=ISO\|senID=23472	17	APP	_	_
21	)	)	PUNC	PUNC	attachment=ISO\|senID=23472	20	PUNC	_	_
22	ناراحتی	ناراحتی	N	IANM	attachment=ISO\|number=SING\|senID=23472	26	SBJ	_	_
23	و	و	CONJ	CONJ	attachment=ISO\|senID=23472	22	NCONJ	_	_
24	بیماری	بیماری	N	IANM	attachment=ISO\|number=SING\|senID=23472	23	POSDEP	_	_
25	رخ	رخ	N	IANM	attachment=ISO\|number=SING\|senID=23472	26	NVE	_	_
26	داد	داد#ده	V	ACT	person=3\|attachment=ISO\|number=SING\|tma=GS\|senID=23472	0	ROOT	_	_
27	که	که	SUBR	SUBR	attachment=ISO\|senID=23472	26	AJUCL	_	_
28	چند	چند	PREM	AMBAJ	attachment=ISO\|senID=23472	29	NPREMOD	_	_
29	روز	روز	N	IANM	attachment=ISO\|number=SING\|senID=23472	39	ADV	_	_
30	بعد	بعد	ADJ	AJP	attachment=ISO\|senID=23472	29	NPOSTMOD	_	_
31	با	با	PREP	PREP	attachment=ISO\|senID=23472	39	ADV	_	_
32	رحلت	رحلت	N	IANM	attachment=ISO\|number=SING\|senID=23472	31	POSDEP	_	_
33	نبی	نبی	N	ANM	attachment=ISO\|number=SING\|senID=23472	32	MOZ	_	_
34	مکرم	مکرم	ADJ	AJP	attachment=ISO\|senID=23472	33	NPOSTMOD	_	_
35	اسلام	اسلام	N	IANM	attachment=ISO\|number=SING\|senID=23472	33	MOZ	_	_
36	جهان	جهان	N	IANM	attachment=ISO\|number=SING\|senID=23472	39	SBJ	_	_
37	عزادار	عزادار	ADJ	AJP	attachment=ISO\|senID=23472	39	MOS	_	_
38	ماتمش	ماتم	N	IANM	attachment=ISO\|number=SING\|senID=23472	37	MOZ	_	_
39	شد	کرد#کن	V	PASS	person=3\|attachment=ISO\|number=SING\|tma=GS\|senID=23472	27	PRD	_	_
40	.	.	PUNC	PUNC	attachment=ISO\|senID=23472	26	PUNC	_	_

Parsing

Nonprojectivities in BTB are rare. Only 747 of the 196,151 tokens in the CoNLL 2006 version are attached nonprojectively (0.38%).

I am not aware of any published results of Persian dependency parsing.

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